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Showing 16 of 16 academic articles

Identifying and prioritizing strategies for creating and impacting brand identity using the FCM method

Milad Amraie, Ali Shariatnejad, Nasim Nazari, Yasaman Changaei • رویکرد‌های نوین در مدیریت و بازاریابی (2025)

AbstractThe aim of the present study is to identify and analyze the strategies for creating and consequences of brand identification using the FCM method. The present study is applicable in terms of its purpose, and exploratory in terms of ...

DOAJ Open Access (DOAJ) DOI: 10.22034/jnamm.2025.547949.1156

Reputation assessment mechanism for carpooling applications based on clustering user travel preferences

Athanasios Salamanis, Dionysios D. Kehagias, Dimitrios Tsoukalas, Dimitrios Tzovaras • International Journal of Transportation Science and Technology (2019)

One way to ensure sustainable and environmental friendly mobility is the use of less vehicles for carrying more passengers, and carpooling is a means to achieve this goal. One major concern in carpooling services is related to trust, as car...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijtst.2018.08.002

Analyzing the Influence of Place Attachment on Citizens' Environmental Protection Behaviors: A Case Study of Rasht City

Aliakbar Salaripour, Arman Hamidi, Alieh Faridi Foshtomi,, Amir Hosein Nourbakhsh • برنامه‌ریزی توسعه شهری و منطقه‌ای (2024)

Nowadays, a significant aspect of citizens' environmental conduct is intertwined with their connection and emotional bond to the city. This attachment to the urban environment is regarded as a critical element in fostering environmentally c...

DOAJ Open Access (DOAJ) DOI: 10.22054/urdp.2024.76342.1597

Assessing the importance of spectators to soccer clubs in South Africa: A management perspective

Victor S. Mogajane, Engelina du Plessis, Elmarie Slabbert • Acta Commercii (2019)

Orientation: This study investigates and analyses the perceptions of soccer club managers based on spectators’ loyalty factors, values and challenges concerning soccer clubs in South Africa. Research purpose: These results could assist man...

DOAJ Open Access (DOAJ) DOI: 10.4102/ac.v19i1.633

Enhancing the Competitiveness of the Show Business Industry for Cultural Export as a Means of Creative Economy Development and Tourism Promotion in the Future New Normal Era: The Case of Thailand

Chayapoj Lee-Anant, Therdchai Choibamroong, Boonnawat Srikhwan • Social Sciences (2023)

The tourism industry is considered the greatest economic generator in Thailand. Nonetheless, the impact of the COVID-19 pandemic thoroughly shifted its image of tourism stability and trustworthiness. The show business industry is an element...

DOAJ Open Access (DOAJ) DOI: 10.3390/socsci12120690

Identifying peer experts in online health forums

V.G.Vinod Vydiswaran, Manoj Reddy • BMC Medical Informatics and Decision Making (2019)

Abstract Background Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the members of ...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12911-019-0782-3

A Deep Learning-Driven Computer Vision and Web-Based Monitoring System for Automated Nutrient Management in Soilless Agriculture

Eda Nur Urtekin, Emre Dandıl • Journal of Agricultural Sciences (2026)

Sustainable food production increasingly relies on intelligent automation technologies that optimize resource usage while maintaining crop health. This study presents a deep learning-driven computer vision and web based monitoring system de...

DOAJ Open Access (DOAJ) DOI: 10.15832/ankutbd.1817471

Evaluation of Similarity of Image Explanations Produced by SHAP, LIME and Grad-CAM

Vladyslav Yavtukhovskyi, Violeta Tretynyk • Кібернетика та комп'ютерні технології (2025)

Introduction. Convolutional neural networks (CNNs) are a subtype of neural networks developed specifically to work with images [1]. They have achieved great success both in research and in practical applications in recent years, however, on...

DOAJ Open Access (DOAJ) DOI: 10.34229/2707-451X.25.2.6

Explainable and reliable kidney CT image classification using self-supervised DeiT-Tiny transformer

Sai Sri Hemantha Konala, Srinivas Koppu • Frontiers in Medicine (2026)

IntroductionKidney-related disorders are one of the global health concerns that require timely detection to prevent severe health complications. The use of computed tomography (CT) images for accurate classification of kidney diseases is im...

DOAJ Open Access (DOAJ) DOI: 10.3389/fmed.2026.1893419

Estimating Uncertainty of Geographic Atrophy Segmentations with Bayesian Deep Learning

Theodore Spaide, PhD, Anand E. Rajesh, MD, Nayoon Gim, Marian Blazes, MD et al. • Ophthalmology Science (2025)

Purpose: To apply methods for quantifying uncertainty of deep learning segmentation of geographic atrophy (GA). Design: Retrospective analysis of OCT images and model comparison. Participants: One hundred twenty-six eyes from 87 participant...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.xops.2024.100587

Explainable Artificial Intelligence for Autonomous Driving: A Comprehensive Overview and Field Guide for Future Research Directions

Shahin Atakishiyev, Mohammad Salameh, Hengshuai Yao, Randy Goebel • IEEE Access (2024)

Autonomous driving has achieved significant milestones in research and development over the last two decades. There is increasing interest in the field as the deployment of autonomous vehicles (AVs) promises safer and more ecologically frie...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2024.3431437

Human- versus Artificial Intelligence

J.E. Korteling, G. C. van de Boer-Visschedijk, Romy Blankendaal, Rudy Boonekamp et al. • Frontiers in Artificial Intelligence (2021)

AI is one of the most debated subjects of today and there seems little common understanding concerning the differences and similarities of human intelligence and artificial intelligence. Discussions on many relevant topics, such as trustwor...

OPENALEX cc-by DOI: https://doi.org/10.3389/frai.2021.622364 PMC: 8108480